Automatic Book Indexing: How to Generate a Book Index with AI

Automatic book indexing uses software to identify subjects, organize entries and assign page references. Publication Intelligence’s Index Generator builds Subject, Author and Source indexes through automated construction, reconciliation, editing and source checks.

For your book: start with final English or Spanish PDF proofs containing extractable text. Confirm your publisher’s requirements, generate the indexes you need, then verify and export the result. Scanned PDFs requiring OCR are not supported.

How does automatic book indexing work?

The pipeline interprets the manuscript’s text, structure and pagination; identifies candidate entries; consolidates related concepts; builds headings, subheadings and cross-references; and connects page references to source evidence.

The goal is useful navigation. A keyword search finds matching words; a subject index organizes meaningful discussions under terms readers might look for.

Invented example: a museum book discusses ownership checks on page 42 and disputed ownership on page 118. An index could provide:

ownership history. See provenance

provenance

• acquisition decisions, 42
• disputed ownership, 118

This editorial illustration shows alternative vocabulary and distinct subtopics. A passing mention of “provenance” would not automatically earn another page reference. See which mentions belong in an index.

Which indexes can AI generate?

• Subject Index: Meaningful discussions of topics and people
• Author Index: References to cited authors and contributors
• Source Index: Citations of textual works and passages, including Scripture, classical works, correspondence and legal texts

A brief citation can belong in an Author or Source Index without qualifying as substantive discussion in a Subject Index. Set each index’s inclusion policy separately.

How are page numbers assigned?

Use the book’s printed page labels. PDF file position 12 might be printed page “1”; front matter and inserted plates can complicate numbering. Confirm numbering against the proof revision agreed with your editor, and recheck affected locators if pagination changes.

Page ranges must support the complete heading throughout—not merely at their endpoints. If your publisher requires Word index fields or paragraph identifiers, agree that handoff first: Publication Intelligence uses PDF sources and page locators. See publisher indexing workflows.

How accurate is AI book indexing?

Quality depends on coverage, heading accuracy, page-reference support and navigation. No single accuracy percentage applies across books and tools.

Our case study of William Doyle’s The Oxford History of the French Revolution (second edition, 2002) evaluates a generated Subject Index against source evidence and a shared benchmark. A strong weighted score can coexist with a failed readiness gate; it is not a percentage of correct entries.

The study was conducted by the product’s developer, covers one English-language history book and does not establish results for other books, Spanish manuscripts or current model versions. Inspect the Oxford comparison, candidate evaluation and methodology.

What should you check before publication?

Review in both directions: index to source checks proposed entries; source to index uncovers missing access.

• Invented or misleading headings: does the passage support the full heading and subheading, including attribution and scope?
• Wrong page references: does each locator lead to useful treatment under that entry?
• Missing topics: can readers find the book’s central discussions, including passages with no generated entry?
• Duplicates and broken navigation: are synonyms consolidated appropriately and cross-reference destinations correct?
• Final delivery: inspect the whole index and exported file for hierarchy, spelling, order and publisher formatting.

Source evidence makes decisions inspectable. An unflagged entry or an empty review queue does not establish publication readiness.

Will my publisher accept an AI-generated index?

Confirm the policy before uploading. Ask about AI permission, manuscript handling, disclosure, human review and delivery format.

UCL Press discourages LLM indexing and requires human checks where AI-assisted tools are used. Penn Press conditionally permits indexing assistance, with manuscript-handling and locator-checking requirements. Neither endorses Publication Intelligence. The American Society for Indexing recommends against AI-generated indexes on quality grounds.

How much does automatic book indexing cost?

Publication Intelligence charges for Document Analysis first, then prices generation by prepared-source token count and selected index types. The analysis payment is credited toward the document’s first generation purchase, up to its price; unused credit does not carry forward.

The pricing estimator gives an indicative amount. Reviewed preparation establishes the token count for the generation quote. Budget for human review and correction as well as software charges.

Generate your book index in four steps

1. Prepare: confirm the indexing brief and upload the agreed PDF proofs to a project.
2. Analyze: run Document Analysis, check text, structure, numbering and scope, then lock the reviewed analysis.
3. Generate: choose index types, review the quote and run Index Generator. It creates new indexes from the manuscript; an uploaded index does not guide generation.
4. Verify and export: check entries against the source, investigate omissions and inspect the final index. Export Markdown, JSON or a separate editable Word index, according to your publisher’s requirements. Word export does not embed index fields in the manuscript.

Ready to plan your index? Estimate the cost, then check account availability to get started.